1. Optimization of EDVP in Retail and E-Commerce Y.-H. Chen, Ph.D. Information Engineering / IC Ming-Chuan University

2. Every-Day-Value-Price (EDVP) Utilized by US businesses in 2001. Increase sales by having more people visit the stores or web sites (increased in-store traffic) through the offer of good deals on popular products. Convenience of shopping at one place for the whole family.

3. EDVP Businesses Super Wal-Mart, K-Mart (Blue-Light Merchandise), Target, Amazon, Tom Thumb, Kroger, Albertson, …, and other retailers.

4. EDVP Problems Decreased sales due to (inappropriate) EDVP products. Increased store traffic is below expectation. Increased store traffic does not cause sales of other products. Reduced profit of EDVP products offsets increased sales of other products. Negative profit due to low or free EDVP product prices.

5. EDVP Problems (con’t) Lack of knowledge about … the magnitude of price mark down needed, and its quantitative impact to the sales of other products.

6. EDVP Objective and Decisions Objective: Maximize profit gain Decisions: What products are good candidates for EDVP products? How much price mark down? Store traffic v.s. real demand?

7. EDVP Model Assumptions EDVP v.s. non-EDVP products. Sufficient product supply. No product disposal cost. Increased sales of non-EDVP products is independent with the demand distribution of EDVP products.

8. EDVP Model (con’t)

9. where

10. EDVP Optimization and where

11. EDVP Optimization Chart

12. EDVP Business Strategy #1: Price Mark Down Decision 1. If the computed optimal price mark down is not feasible, we should not consider price mark down or we should give away the EDVP product for free (Corollary 1).

13. EDVP Business Strategy #2: Product Selection 2. We can improve the optimal profit gain further by using different products in our problem (Corollary 2 and Lemma 2.1). and

14. Business Strategy #3: Product Selection Details 3. If we consider different products to improve the optimal profit gain, we can use any combination of the following methods: Replace any or both products with the ones having higher unit profit (Corollaries 3 and 4). Replace any or both products with higher correlation between their demand quantities (Corollary 5). Use a highly elastic product as our EDVP product (Corollary 6).

15. Business Strategy #3: Product Selection Details (con’t)

16. Grocery Chain Example Watermelon: unit cost $1.00, unit price $5.99, unit profit $4.99. Beef (per pound): unit cost $2.00, unit price $8.99, unit profit, $6.99. Historical watermelon demand: 2000 units. Traffic and demand ratio: 0.80.

17. Grocery Chain Example (con’t)

18. Mark down watermelon unit price by $3.29, i.e., unit price becomes 5.99- 3.29 = $2.70. Watermelon sales is increased by 1645. Maximal net profit gain from the price mark down is $1353.84 for a weekend.